Imagine that smart contracts are like 24/7 online traders, whose decisions depend entirely on external data—price information, market conditions, settlement results. But what happens if this data channel is unreliable, sometimes delivering incorrect prices, other times delayed by half a day? The consequences could be disastrous: DeFi applications might execute wrong trades, NFT dynamic attributes could freeze, insurance claim processes could grind to a halt. This is the deepest hidden pain point in today’s blockchain world: **the reliability and real-time nature of data far lag behind the ambitions of on-chain applications**.

The problem with traditional oracles is quite obvious. Most solutions resemble a single IV drip—single data source, fixed pathway. If it gets attacked, polluted, or network congestion occurs, the entire application ecosystem relying on it could become paralyzed. Risk is concentrated at one point, which is fatal for the entire ecosystem.

APRO attempts to fundamentally redesign this system. The core idea is to establish a "Distributed Data Processing Hub." How exactly does it work?

**Multi-source Collection**: Simultaneously pull data from dozens of independent, verified sources, rather than relying on a single source. This way, even if one source fails, the entire system remains resilient.

**Node Layer Filtering**: Raw data collected enters a decentralized network of nodes, which perform cross-validation and consensus mechanisms to ensure data authenticity.

**AI Real-time Monitoring**: Machine learning models continuously run to identify and isolate anomalies and polluted data, performing quality control like doctors examining blood.

However, such a solution also faces a practical challenge: **Different scenarios have vastly different data requirements**. Some applications demand ultra-fast responses, while others are cost-sensitive.

APRO’s answer is to provide two channels—

**Push Mode** (Real-time Priority): For information like price changes or match scores, the system actively monitors and immediately pushes data onto the chain once a change is detected. This is most friendly to DeFi trading platforms, eliminating worries about data delays causing losses.

**Pull Mode** (On-demand Payment): Applications only request data when truly needed, incurring no costs during idle periods. This mode is ideal for low-frequency operations like insurance claims or asset valuation.

In simple terms, developers can flexibly control data supply by adjusting the "water tap," choosing the appropriate data delivery method based on actual business needs. This is not just a technical upgrade but a fundamental solution to the problem of "insufficient blood supply" of data for on-chain applications.